{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5449d591",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DejaVu Serif - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf\n",
      "STIXSizeTwoSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf\n",
      "STIXGeneral - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf\n",
      "cmr10 - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf\n",
      "cmmi10 - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf\n",
      "cmsy10 - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf\n",
      "cmb10 - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf\n",
      "STIXNonUnicode - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf\n",
      "cmss10 - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf\n",
      "STIXGeneral - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf\n",
      "STIXSizeThreeSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf\n",
      "STIXSizeOneSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf\n",
      "STIXSizeTwoSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf\n",
      "DejaVu Sans - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf\n",
      "STIXSizeThreeSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf\n",
      "STIXGeneral - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf\n",
      "DejaVu Sans - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf\n",
      "STIXSizeOneSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf\n",
      "STIXNonUnicode - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf\n",
      "STIXGeneral - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf\n",
      "DejaVu Sans Mono - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf\n",
      "DejaVu Sans Display - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf\n",
      "STIXSizeFourSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf\n",
      "cmex10 - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf\n",
      "cmtt10 - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf\n",
      "STIXNonUnicode - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf\n",
      "DejaVu Serif - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf\n",
      "STIXNonUnicode - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf\n",
      "DejaVu Serif - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf\n",
      "DejaVu Sans - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf\n",
      "STIXSizeFourSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf\n",
      "DejaVu Sans - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf\n",
      "DejaVu Sans Mono - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf\n",
      "DejaVu Sans Mono - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf\n",
      "DejaVu Sans Mono - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf\n",
      "STIXSizeFiveSym - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf\n",
      "DejaVu Serif Display - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf\n",
      "DejaVu Serif - D:\\python\\Anaconda\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf\n",
      "MS Reference Sans Serif - C:\\Windows\\Fonts\\REFSAN.TTF\n",
      "DengXian - C:\\WINDOWS\\Fonts\\Dengl.ttf\n",
      "Showcard Gothic - C:\\Windows\\Fonts\\SHOWG.TTF\n",
      "Franklin Gothic Demi - C:\\Windows\\Fonts\\FRADMIT.TTF\n",
      "Microsoft New Tai Lue - C:\\Windows\\Fonts\\ntailu.ttf\n",
      "Ink Free - C:\\Windows\\Fonts\\Inkfree.ttf\n",
      "Arial - C:\\WINDOWS\\Fonts\\ARIALNBI.TTF\n",
      "Maiandra GD - C:\\WINDOWS\\Fonts\\MAIAN.TTF\n",
      "Candara - C:\\Windows\\Fonts\\Candara.ttf\n",
      "Felix Titling - C:\\WINDOWS\\Fonts\\FELIXTI.TTF\n",
      "Calibri - C:\\WINDOWS\\Fonts\\calibril.ttf\n",
      "FangSong - C:\\WINDOWS\\Fonts\\simfang.ttf\n",
      "DengXian - C:\\Windows\\Fonts\\Deng.ttf\n",
      "Gabriola - C:\\WINDOWS\\Fonts\\Gabriola.ttf\n",
      "Microsoft Tai Le - C:\\WINDOWS\\Fonts\\taile.ttf\n",
      "Vivaldi - C:\\Windows\\Fonts\\VIVALDII.TTF\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\seguisb.ttf\n",
      "Cooper Black - C:\\WINDOWS\\Fonts\\COOPBL.TTF\n",
      "Perpetua - C:\\WINDOWS\\Fonts\\PERI____.TTF\n",
      "Microsoft Tai Le - C:\\WINDOWS\\Fonts\\taileb.ttf\n",
      "Gill Sans MT - C:\\WINDOWS\\Fonts\\GILBI___.TTF\n",
      "Sitka - C:\\WINDOWS\\Fonts\\SitkaVF-Italic.ttf\n",
      "Perpetua - C:\\Windows\\Fonts\\PER_____.TTF\n",
      "Segoe UI Symbol - C:\\WINDOWS\\Fonts\\seguisym.ttf\n",
      "Segoe MDL2 Assets - C:\\WINDOWS\\Fonts\\segmdl2.ttf\n",
      "Haettenschweiler - C:\\Windows\\Fonts\\HATTEN.TTF\n",
      "Dubai - C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF\n",
      "Microsoft YaHei - C:\\WINDOWS\\Fonts\\msyhbd.ttc\n",
      "Microsoft YaHei - C:\\WINDOWS\\Fonts\\msyhl.ttc\n",
      "Modern No. 20 - C:\\WINDOWS\\Fonts\\MOD20.TTF\n",
      "Lucida Sans Typewriter - C:\\Windows\\Fonts\\LTYPEB.TTF\n",
      "Times New Roman - C:\\Windows\\Fonts\\timesi.ttf\n",
      "Elephant - C:\\WINDOWS\\Fonts\\ELEPHNT.TTF\n",
      "Yu Gothic - C:\\WINDOWS\\Fonts\\YuGothM.ttc\n",
      "Papyrus - C:\\Windows\\Fonts\\PAPYRUS.TTF\n",
      "Arial Unicode MS - C:\\Windows\\Fonts\\ARIALUNI.TTF\n",
      "Informal Roman - C:\\Windows\\Fonts\\INFROMAN.TTF\n",
      "Axure Handwriting - C:\\WINDOWS\\Fonts\\AxureHandwriting-Bold.otf\n",
      "Book Antiqua - C:\\Windows\\Fonts\\ANTQUAI.TTF\n",
      "Gill Sans MT - C:\\Windows\\Fonts\\GIL_____.TTF\n",
      "Tahoma - C:\\WINDOWS\\Fonts\\tahoma.ttf\n",
      "Century Schoolbook - C:\\WINDOWS\\Fonts\\SCHLBKB.TTF\n",
      "Berlin Sans FB Demi - C:\\Windows\\Fonts\\BRLNSDB.TTF\n",
      "Calibri - C:\\Windows\\Fonts\\calibriz.ttf\n",
      "Microsoft JhengHei - C:\\WINDOWS\\Fonts\\msjhbd.ttc\n",
      "Sitka - C:\\Windows\\Fonts\\SitkaVF-Italic.ttf\n",
      "Lucida Fax - C:\\WINDOWS\\Fonts\\LFAXI.TTF\n",
      "Magneto - C:\\WINDOWS\\Fonts\\MAGNETOB.TTF\n",
      "Jokerman - C:\\Windows\\Fonts\\JOKERMAN.TTF\n",
      "MS Reference Specialty - C:\\Windows\\Fonts\\REFSPCL.TTF\n",
      "Comic Sans MS - C:\\Windows\\Fonts\\comicbd.ttf\n",
      "Corbel - C:\\Windows\\Fonts\\corbell.ttf\n",
      "Gabriola - C:\\Windows\\Fonts\\Gabriola.ttf\n",
      "Corbel - C:\\WINDOWS\\Fonts\\corbel.ttf\n",
      "Lucida Handwriting - C:\\Windows\\Fonts\\LHANDW.TTF\n",
      "Corbel - C:\\WINDOWS\\Fonts\\corbelli.ttf\n",
      "STKaiti - C:\\Windows\\Fonts\\STKAITI.TTF\n",
      "Gill Sans Ultra Bold - C:\\Windows\\Fonts\\GILSANUB.TTF\n",
      "Lucida Sans Typewriter - C:\\WINDOWS\\Fonts\\LTYPE.TTF\n",
      "Segoe UI Historic - C:\\Windows\\Fonts\\seguihis.ttf\n",
      "Lucida Calligraphy - C:\\Windows\\Fonts\\LCALLIG.TTF\n",
      "Maiandra GD - C:\\Windows\\Fonts\\MAIAN.TTF\n",
      "Castellar - C:\\WINDOWS\\Fonts\\CASTELAR.TTF\n",
      "Webdings - C:\\Windows\\Fonts\\webdings.ttf\n",
      "Microsoft New Tai Lue - C:\\WINDOWS\\Fonts\\ntailu.ttf\n",
      "Segoe Print - C:\\Windows\\Fonts\\segoepr.ttf\n",
      "Eras Medium ITC - C:\\Windows\\Fonts\\ERASMD.TTF\n",
      "Segoe UI Emoji - C:\\WINDOWS\\Fonts\\seguiemj.ttf\n",
      "Felix Titling - C:\\Windows\\Fonts\\FELIXTI.TTF\n",
      "Goudy Old Style - C:\\WINDOWS\\Fonts\\GOUDOSB.TTF\n",
      "Matura MT Script Capitals - C:\\WINDOWS\\Fonts\\MATURASC.TTF\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\seguisli.ttf\n",
      "Trebuchet MS - C:\\WINDOWS\\Fonts\\trebucbi.ttf\n",
      "Perpetua - C:\\WINDOWS\\Fonts\\PERBI___.TTF\n",
      "SimSun-ExtB - C:\\WINDOWS\\Fonts\\simsunb.ttf\n",
      "Calisto MT - C:\\Windows\\Fonts\\CALIST.TTF\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_CR.TTF\n",
      "Viner Hand ITC - C:\\WINDOWS\\Fonts\\VINERITC.TTF\n",
      "OCR A Extended - C:\\Windows\\Fonts\\OCRAEXT.TTF\n",
      "Tempus Sans ITC - C:\\Windows\\Fonts\\TEMPSITC.TTF\n",
      "Cooper Black - C:\\Windows\\Fonts\\COOPBL.TTF\n",
      "Nirmala UI - C:\\Windows\\Fonts\\NirmalaB.ttf\n",
      "Leelawadee UI - C:\\WINDOWS\\Fonts\\LeelUIsl.ttf\n",
      "Malgun Gothic - C:\\WINDOWS\\Fonts\\malgun.ttf\n",
      "Bell MT - C:\\Windows\\Fonts\\BELLI.TTF\n",
      "Lucida Sans - C:\\Windows\\Fonts\\LSANS.TTF\n",
      "Lucida Bright - C:\\WINDOWS\\Fonts\\LBRITEDI.TTF\n",
      "Yu Gothic - C:\\Windows\\Fonts\\YuGothB.ttc\n",
      "Tw Cen MT Condensed Extra Bold - C:\\WINDOWS\\Fonts\\TCCEB.TTF\n",
      "Book Antiqua - C:\\WINDOWS\\Fonts\\ANTQUABI.TTF\n",
      "STXingkai - C:\\Windows\\Fonts\\STXINGKA.TTF\n",
      "Bahnschrift - C:\\Windows\\Fonts\\bahnschrift.ttf\n",
      "Perpetua Titling MT - C:\\Windows\\Fonts\\PERTILI.TTF\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_BLAI.TTF\n",
      "Tw Cen MT - C:\\Windows\\Fonts\\TCMI____.TTF\n",
      "Cambria - C:\\Windows\\Fonts\\cambriai.ttf\n",
      "Calisto MT - C:\\WINDOWS\\Fonts\\CALIST.TTF\n",
      "Calisto MT - C:\\WINDOWS\\Fonts\\CALISTI.TTF\n",
      "Myanmar Text - C:\\Windows\\Fonts\\mmrtext.ttf\n",
      "Century Schoolbook - C:\\WINDOWS\\Fonts\\CENSCBK.TTF\n",
      "Malgun Gothic - C:\\Windows\\Fonts\\malgunsl.ttf\n",
      "Consolas - C:\\Windows\\Fonts\\consolaz.ttf\n",
      "Javanese Text - C:\\WINDOWS\\Fonts\\javatext.ttf\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_CBI.TTF\n",
      "Georgia - C:\\WINDOWS\\Fonts\\georgiab.ttf\n",
      "Century Schoolbook - C:\\Windows\\Fonts\\SCHLBKI.TTF\n",
      "Sans Serif Collection - C:\\WINDOWS\\Fonts\\SansSerifCollection.ttf\n",
      "Trebuchet MS - C:\\WINDOWS\\Fonts\\trebuc.ttf\n",
      "Franklin Gothic Medium - C:\\WINDOWS\\Fonts\\framd.ttf\n",
      "Segoe UI - C:\\Windows\\Fonts\\seguisb.ttf\n",
      "MingLiU-ExtB - C:\\Windows\\Fonts\\mingliub.ttc\n",
      "Broadway - C:\\Windows\\Fonts\\BROADW.TTF\n",
      "Book Antiqua - C:\\WINDOWS\\Fonts\\ANTQUAI.TTF\n",
      "Blackadder ITC - C:\\WINDOWS\\Fonts\\ITCBLKAD.TTF\n",
      "Wingdings 3 - C:\\WINDOWS\\Fonts\\WINGDNG3.TTF\n",
      "Constantia - C:\\WINDOWS\\Fonts\\constanz.ttf\n",
      "Times New Roman - C:\\Windows\\Fonts\\times.ttf\n",
      "Footlight MT Light - C:\\Windows\\Fonts\\FTLTLT.TTF\n",
      "Gloucester MT Extra Condensed - C:\\WINDOWS\\Fonts\\GLECB.TTF\n",
      "Impact - C:\\WINDOWS\\Fonts\\impact.ttf\n",
      "STKaiti - C:\\WINDOWS\\Fonts\\STKAITI.TTF\n",
      "Perpetua - C:\\WINDOWS\\Fonts\\PERB____.TTF\n",
      "Blackadder ITC - C:\\Windows\\Fonts\\ITCBLKAD.TTF\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_R.TTF\n",
      "Franklin Gothic Heavy - C:\\WINDOWS\\Fonts\\FRAHVIT.TTF\n",
      "Lucida Fax - C:\\WINDOWS\\Fonts\\LFAXD.TTF\n",
      "Constantia - C:\\Windows\\Fonts\\constani.ttf\n",
      "Century Gothic - C:\\Windows\\Fonts\\GOTHICBI.TTF\n",
      "Gill Sans MT Condensed - C:\\WINDOWS\\Fonts\\GILC____.TTF\n",
      "Edwardian Script ITC - C:\\WINDOWS\\Fonts\\ITCEDSCR.TTF\n",
      "Marlett - C:\\WINDOWS\\Fonts\\marlett.ttf\n",
      "Calibri - C:\\Windows\\Fonts\\calibrib.ttf\n",
      "Lucida Sans - C:\\Windows\\Fonts\\LSANSDI.TTF\n",
      "Old English Text MT - C:\\WINDOWS\\Fonts\\OLDENGL.TTF\n",
      "Parchment - C:\\Windows\\Fonts\\PARCHM.TTF\n",
      "Centaur - C:\\WINDOWS\\Fonts\\CENTAUR.TTF\n",
      "Palace Script MT - C:\\Windows\\Fonts\\PALSCRI.TTF\n",
      "Playbill - C:\\WINDOWS\\Fonts\\PLAYBILL.TTF\n",
      "Gill Sans MT - C:\\WINDOWS\\Fonts\\GIL_____.TTF\n",
      "Century - C:\\WINDOWS\\Fonts\\CENTURY.TTF\n",
      "Leelawadee UI - C:\\WINDOWS\\Fonts\\LeelaUIb.ttf\n",
      "Ebrima - C:\\WINDOWS\\Fonts\\ebrima.ttf\n",
      "Malgun Gothic - C:\\Windows\\Fonts\\malgun.ttf\n",
      "Pristina - C:\\Windows\\Fonts\\PRISTINA.TTF\n",
      "Eras Demi ITC - C:\\Windows\\Fonts\\ERASDEMI.TTF\n",
      "Century Gothic - C:\\Windows\\Fonts\\GOTHICI.TTF\n",
      "Calibri - C:\\WINDOWS\\Fonts\\calibri.ttf\n",
      "Century - C:\\Windows\\Fonts\\CENTURY.TTF\n",
      "Engravers MT - C:\\WINDOWS\\Fonts\\ENGR.TTF\n",
      "Lucida Fax - C:\\WINDOWS\\Fonts\\LFAX.TTF\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_BI.TTF\n",
      "Juice ITC - C:\\WINDOWS\\Fonts\\JUICE___.TTF\n",
      "Corbel - C:\\Windows\\Fonts\\corbel.ttf\n",
      "Franklin Gothic Demi Cond - C:\\Windows\\Fonts\\FRADMCN.TTF\n",
      "STSong - C:\\WINDOWS\\Fonts\\STSONG.TTF\n",
      "Gill Sans Ultra Bold Condensed - C:\\Windows\\Fonts\\GILLUBCD.TTF\n",
      "STCaiyun - C:\\WINDOWS\\Fonts\\STCAIYUN.TTF\n",
      "Palace Script MT - C:\\WINDOWS\\Fonts\\PALSCRI.TTF\n",
      "Century Schoolbook - C:\\Windows\\Fonts\\CENSCBK.TTF\n",
      "Arial - C:\\WINDOWS\\Fonts\\arialbi.ttf\n",
      "Gigi - C:\\Windows\\Fonts\\GIGI.TTF\n",
      "Elephant - C:\\Windows\\Fonts\\ELEPHNT.TTF\n",
      "Arial - C:\\WINDOWS\\Fonts\\ARIALNB.TTF\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\segoeuii.ttf\n",
      "Microsoft Yi Baiti - C:\\WINDOWS\\Fonts\\msyi.ttf\n",
      "Corbel - C:\\Windows\\Fonts\\corbelz.ttf\n",
      "Palatino Linotype - C:\\WINDOWS\\Fonts\\pala.ttf\n",
      "Elephant - C:\\WINDOWS\\Fonts\\ELEPHNTI.TTF\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_PSTC.TTF\n",
      "Vivaldi - C:\\WINDOWS\\Fonts\\VIVALDII.TTF\n",
      "Corbel - C:\\Windows\\Fonts\\corbeli.ttf\n",
      "Calibri - C:\\Windows\\Fonts\\calibrii.ttf\n",
      "Comic Sans MS - C:\\Windows\\Fonts\\comic.ttf\n",
      "Book Antiqua - C:\\WINDOWS\\Fonts\\BKANT.TTF\n",
      "Garamond - C:\\Windows\\Fonts\\GARA.TTF\n",
      "Dubai - C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF\n",
      "FangSong - C:\\Windows\\Fonts\\simfang.ttf\n",
      "Consolas - C:\\WINDOWS\\Fonts\\consolaz.ttf\n",
      "Arial - C:\\WINDOWS\\Fonts\\arial.ttf\n",
      "Poor Richard - C:\\Windows\\Fonts\\POORICH.TTF\n",
      "Tw Cen MT - C:\\WINDOWS\\Fonts\\TCB_____.TTF\n",
      "Corbel - C:\\Windows\\Fonts\\corbelb.ttf\n",
      "Segoe UI - C:\\Windows\\Fonts\\segoeuiz.ttf\n",
      "Gill Sans MT Ext Condensed Bold - C:\\WINDOWS\\Fonts\\GLSNECB.TTF\n",
      "Lucida Sans Typewriter - C:\\WINDOWS\\Fonts\\LTYPEB.TTF\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_CR.TTF\n",
      "Franklin Gothic Book - C:\\WINDOWS\\Fonts\\FRABK.TTF\n",
      "Bookshelf Symbol 7 - C:\\WINDOWS\\Fonts\\BSSYM7.TTF\n",
      "Lucida Fax - C:\\Windows\\Fonts\\LFAXDI.TTF\n",
      "Georgia - C:\\Windows\\Fonts\\georgiab.ttf\n",
      "Segoe UI - C:\\Windows\\Fonts\\seguisbi.ttf\n",
      "Cambria - C:\\WINDOWS\\Fonts\\cambria.ttc\n",
      "STXihei - C:\\Windows\\Fonts\\STXIHEI.TTF\n",
      "Ink Free - C:\\WINDOWS\\Fonts\\Inkfree.ttf\n",
      "Freestyle Script - C:\\WINDOWS\\Fonts\\FREESCPT.TTF\n",
      "OCR A Extended - C:\\WINDOWS\\Fonts\\OCRAEXT.TTF\n",
      "Ebrima - C:\\Windows\\Fonts\\ebrimabd.ttf\n",
      "Nirmala UI - C:\\WINDOWS\\Fonts\\NirmalaB.ttf\n",
      "DengXian - C:\\Windows\\Fonts\\Dengl.ttf\n",
      "Onyx - C:\\Windows\\Fonts\\ONYX.TTF\n",
      "Arial - C:\\WINDOWS\\Fonts\\ARIALN.TTF\n",
      "Stencil - C:\\Windows\\Fonts\\STENCIL.TTF\n",
      "Calisto MT - C:\\WINDOWS\\Fonts\\CALISTBI.TTF\n",
      "Corbel - C:\\WINDOWS\\Fonts\\corbelb.ttf\n",
      "Palatino Linotype - C:\\Windows\\Fonts\\palab.ttf\n",
      "Meiryo - C:\\Windows\\Fonts\\MEIRYOB.TTC\n",
      "Segoe UI - C:\\Windows\\Fonts\\segoeuib.ttf\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\seguibli.ttf\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_CB.TTF\n",
      "Yu Gothic - C:\\Windows\\Fonts\\YuGothM.ttc\n",
      "Leelawadee UI - C:\\WINDOWS\\Fonts\\LeelawUI.ttf\n",
      "Century Gothic - C:\\WINDOWS\\Fonts\\GOTHICBI.TTF\n",
      "Goudy Stout - C:\\Windows\\Fonts\\GOUDYSTO.TTF\n",
      "Corbel - C:\\Windows\\Fonts\\corbelli.ttf\n",
      "Candara - C:\\Windows\\Fonts\\Candarai.ttf\n",
      "SimSun - C:\\Windows\\Fonts\\simsun.ttc\n",
      "Copperplate Gothic Light - C:\\Windows\\Fonts\\COPRGTL.TTF\n",
      "MV Boli - C:\\Windows\\Fonts\\mvboli.ttf\n",
      "Meiryo - C:\\WINDOWS\\Fonts\\MEIRYOB.TTC\n",
      "Cambria - C:\\WINDOWS\\Fonts\\cambriai.ttf\n",
      "Microsoft PhagsPa - C:\\WINDOWS\\Fonts\\phagspa.ttf\n",
      "Georgia - C:\\Windows\\Fonts\\georgia.ttf\n",
      "Jokerman - C:\\WINDOWS\\Fonts\\JOKERMAN.TTF\n",
      "SimHei - C:\\Windows\\Fonts\\simhei.ttf\n",
      "Cascadia Code - C:\\WINDOWS\\Fonts\\CascadiaCode.ttf\n",
      "Tw Cen MT - C:\\Windows\\Fonts\\TCB_____.TTF\n",
      "Calibri - C:\\WINDOWS\\Fonts\\calibrii.ttf\n",
      "Candara - C:\\Windows\\Fonts\\Candarab.ttf\n",
      "Brush Script MT - C:\\WINDOWS\\Fonts\\BRUSHSCI.TTF\n",
      "French Script MT - C:\\WINDOWS\\Fonts\\FRSCRIPT.TTF\n",
      "Constantia - C:\\WINDOWS\\Fonts\\constanb.ttf\n",
      "Centaur - C:\\Windows\\Fonts\\CENTAUR.TTF\n",
      "MS Reference Specialty - C:\\WINDOWS\\Fonts\\REFSPCL.TTF\n",
      "Viner Hand ITC - C:\\Windows\\Fonts\\VINERITC.TTF\n",
      "Bauhaus 93 - C:\\WINDOWS\\Fonts\\BAUHS93.TTF\n",
      "Microsoft PhagsPa - C:\\Windows\\Fonts\\phagspa.ttf\n",
      "Rockwell - C:\\Windows\\Fonts\\ROCKI.TTF\n",
      "Perpetua Titling MT - C:\\Windows\\Fonts\\PERTIBD.TTF\n",
      "Century Gothic - C:\\Windows\\Fonts\\GOTHIC.TTF\n",
      "Lucida Bright - C:\\Windows\\Fonts\\LBRITE.TTF\n",
      "Kunstler Script - C:\\WINDOWS\\Fonts\\KUNSTLER.TTF\n",
      "Sans Serif Collection - C:\\Windows\\Fonts\\SansSerifCollection.ttf\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_B.TTF\n",
      "Cambria - C:\\Windows\\Fonts\\cambriaz.ttf\n",
      "Tw Cen MT - C:\\WINDOWS\\Fonts\\TCBI____.TTF\n",
      "Gadugi - C:\\Windows\\Fonts\\gadugi.ttf\n",
      "Microsoft PhagsPa - C:\\Windows\\Fonts\\phagspab.ttf\n",
      "Century Schoolbook - C:\\WINDOWS\\Fonts\\SCHLBKI.TTF\n",
      "Script MT Bold - C:\\Windows\\Fonts\\SCRIPTBL.TTF\n",
      "Comic Sans MS - C:\\WINDOWS\\Fonts\\comici.ttf\n",
      "Script MT Bold - C:\\WINDOWS\\Fonts\\SCRIPTBL.TTF\n",
      "Axure Handwriting - C:\\Windows\\Fonts\\AxureHandwriting-BoldItalic.otf\n",
      "Gill Sans MT - C:\\Windows\\Fonts\\GILI____.TTF\n",
      "Gill Sans MT - C:\\WINDOWS\\Fonts\\GILB____.TTF\n",
      "Britannic Bold - C:\\WINDOWS\\Fonts\\BRITANIC.TTF\n",
      "Arial - C:\\WINDOWS\\Fonts\\ariali.ttf\n",
      "Wide Latin - C:\\Windows\\Fonts\\LATINWD.TTF\n",
      "Lucida Sans Typewriter - C:\\Windows\\Fonts\\LTYPEBO.TTF\n",
      "Eras Light ITC - C:\\Windows\\Fonts\\ERASLGHT.TTF\n",
      "Candara - C:\\WINDOWS\\Fonts\\Candarab.ttf\n",
      "Gill Sans Ultra Bold Condensed - C:\\WINDOWS\\Fonts\\GILLUBCD.TTF\n",
      "Verdana - C:\\WINDOWS\\Fonts\\verdanai.ttf\n",
      "Poor Richard - C:\\WINDOWS\\Fonts\\POORICH.TTF\n",
      "STSong - C:\\Windows\\Fonts\\STSONG.TTF\n",
      "Segoe UI - C:\\Windows\\Fonts\\segoeuisl.ttf\n",
      "Symbol - C:\\Windows\\Fonts\\symbol.ttf\n",
      "Segoe Script - C:\\Windows\\Fonts\\segoesc.ttf\n",
      "Gill Sans MT - C:\\WINDOWS\\Fonts\\GILI____.TTF\n",
      "Mongolian Baiti - C:\\Windows\\Fonts\\monbaiti.ttf\n",
      "Modern No. 20 - C:\\Windows\\Fonts\\MOD20.TTF\n",
      "Arial - C:\\Windows\\Fonts\\arialbi.ttf\n",
      "High Tower Text - C:\\WINDOWS\\Fonts\\HTOWERT.TTF\n",
      "Axure Handwriting - C:\\WINDOWS\\Fonts\\AxureHandwriting-BoldItalic.otf\n",
      "Curlz MT - C:\\WINDOWS\\Fonts\\CURLZ___.TTF\n",
      "Franklin Gothic Demi - C:\\WINDOWS\\Fonts\\FRADMIT.TTF\n",
      "STXihei - C:\\WINDOWS\\Fonts\\STXIHEI.TTF\n",
      "Wingdings - C:\\Windows\\Fonts\\wingding.ttf\n",
      "Lucida Sans - C:\\Windows\\Fonts\\LSANSD.TTF\n",
      "Segoe Script - C:\\Windows\\Fonts\\segoescb.ttf\n",
      "Leelawadee UI - C:\\Windows\\Fonts\\LeelaUIb.ttf\n",
      "Calibri - C:\\WINDOWS\\Fonts\\calibrili.ttf\n",
      "Goudy Old Style - C:\\Windows\\Fonts\\GOUDOSB.TTF\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_PSTC.TTF\n",
      "Goudy Old Style - C:\\WINDOWS\\Fonts\\GOUDOSI.TTF\n",
      "Segoe UI Symbol - C:\\Windows\\Fonts\\seguisym.ttf\n",
      "Tw Cen MT - C:\\Windows\\Fonts\\TCBI____.TTF\n",
      "Lucida Fax - C:\\WINDOWS\\Fonts\\LFAXDI.TTF\n",
      "Segoe Print - C:\\Windows\\Fonts\\segoeprb.ttf\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\segoeui.ttf\n",
      "Niagara Engraved - C:\\WINDOWS\\Fonts\\NIAGENG.TTF\n",
      "Bookman Old Style - C:\\WINDOWS\\Fonts\\BOOKOSBI.TTF\n",
      "Calisto MT - C:\\Windows\\Fonts\\CALISTB.TTF\n",
      "Trebuchet MS - C:\\Windows\\Fonts\\trebuc.ttf\n",
      "Chiller - C:\\WINDOWS\\Fonts\\CHILLER.TTF\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_B.TTF\n",
      "Berlin Sans FB - C:\\Windows\\Fonts\\BRLNSR.TTF\n",
      "Franklin Gothic Demi Cond - C:\\WINDOWS\\Fonts\\FRADMCN.TTF\n",
      "Arial - C:\\WINDOWS\\Fonts\\arialbd.ttf\n",
      "Verdana - C:\\Windows\\Fonts\\verdanai.ttf\n",
      "Lucida Fax - C:\\Windows\\Fonts\\LFAX.TTF\n",
      "Gadugi - C:\\WINDOWS\\Fonts\\gadugi.ttf\n",
      "Algerian - C:\\Windows\\Fonts\\ALGER.TTF\n",
      "Perpetua - C:\\Windows\\Fonts\\PERBI___.TTF\n",
      "Microsoft JhengHei - C:\\Windows\\Fonts\\msjhbd.ttc\n",
      "Cambria - C:\\Windows\\Fonts\\cambria.ttc\n",
      "Californian FB - C:\\WINDOWS\\Fonts\\CALIFR.TTF\n",
      "Bahnschrift - C:\\WINDOWS\\Fonts\\bahnschrift.ttf\n",
      "Stencil - C:\\WINDOWS\\Fonts\\STENCIL.TTF\n",
      "Corbel - C:\\WINDOWS\\Fonts\\corbell.ttf\n",
      "Times New Roman - C:\\WINDOWS\\Fonts\\timesbi.ttf\n",
      "Lucida Bright - C:\\Windows\\Fonts\\LBRITEI.TTF\n",
      "Comic Sans MS - C:\\WINDOWS\\Fonts\\comicbd.ttf\n",
      "Brush Script MT - C:\\Windows\\Fonts\\BRUSHSCI.TTF\n",
      "Goudy Old Style - C:\\WINDOWS\\Fonts\\GOUDOS.TTF\n",
      "Californian FB - C:\\Windows\\Fonts\\CALIFB.TTF\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\segoeuisl.ttf\n",
      "Axure Handwriting - C:\\Windows\\Fonts\\AxureHandwriting.otf\n",
      "Lucida Bright - C:\\WINDOWS\\Fonts\\LBRITE.TTF\n",
      "Tw Cen MT - C:\\WINDOWS\\Fonts\\TCM_____.TTF\n",
      "Eras Bold ITC - C:\\WINDOWS\\Fonts\\ERASBD.TTF\n",
      "Rockwell Condensed - C:\\WINDOWS\\Fonts\\ROCCB___.TTF\n",
      "Segoe UI - C:\\Windows\\Fonts\\segoeuil.ttf\n",
      "DejaVu Math TeX Gyre - C:\\ProgramData\\kingsoft\\office6\\omath\\DejaVuMathTeXGyre.ttf\n",
      "Ebrima - C:\\WINDOWS\\Fonts\\ebrimabd.ttf\n",
      "Rockwell - C:\\WINDOWS\\Fonts\\ROCK.TTF\n",
      "Lucida Sans Typewriter - C:\\WINDOWS\\Fonts\\LTYPEBO.TTF\n",
      "Segoe UI Emoji - C:\\Windows\\Fonts\\seguiemj.ttf\n",
      "HoloLens MDL2 Assets - C:\\Windows\\Fonts\\holomdl2.ttf\n",
      "Franklin Gothic Heavy - C:\\Windows\\Fonts\\FRAHVIT.TTF\n",
      "Times New Roman - C:\\Windows\\Fonts\\timesbd.ttf\n",
      "Constantia - C:\\WINDOWS\\Fonts\\constan.ttf\n",
      "Webdings - C:\\WINDOWS\\Fonts\\webdings.ttf\n",
      "Niagara Solid - C:\\Windows\\Fonts\\NIAGSOL.TTF\n",
      "Rockwell - C:\\Windows\\Fonts\\ROCK.TTF\n",
      "Sylfaen - C:\\Windows\\Fonts\\sylfaen.ttf\n",
      "Bell MT - C:\\WINDOWS\\Fonts\\BELLB.TTF\n",
      "DengXian - C:\\WINDOWS\\Fonts\\Deng.ttf\n",
      "Microsoft New Tai Lue - C:\\Windows\\Fonts\\ntailub.ttf\n",
      "KaiTi - C:\\Windows\\Fonts\\simkai.ttf\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_R.TTF\n",
      "Berlin Sans FB - C:\\Windows\\Fonts\\BRLNSB.TTF\n",
      "Microsoft Sans Serif - C:\\WINDOWS\\Fonts\\micross.ttf\n",
      "Microsoft JhengHei - C:\\WINDOWS\\Fonts\\msjh.ttc\n",
      "KaiTi - C:\\WINDOWS\\Fonts\\simkai.ttf\n",
      "Gill Sans MT - C:\\Windows\\Fonts\\GILB____.TTF\n",
      "Perpetua - C:\\Windows\\Fonts\\PERB____.TTF\n",
      "Eras Demi ITC - C:\\WINDOWS\\Fonts\\ERASDEMI.TTF\n",
      "High Tower Text - C:\\Windows\\Fonts\\HTOWERT.TTF\n",
      "Snap ITC - C:\\WINDOWS\\Fonts\\SNAP____.TTF\n",
      "Segoe Script - C:\\WINDOWS\\Fonts\\segoescb.ttf\n",
      "Franklin Gothic Heavy - C:\\WINDOWS\\Fonts\\FRAHV.TTF\n",
      "STXinwei - C:\\Windows\\Fonts\\STXINWEI.TTF\n",
      "Gloucester MT Extra Condensed - C:\\Windows\\Fonts\\GLECB.TTF\n",
      "Comic Sans MS - C:\\WINDOWS\\Fonts\\comic.ttf\n",
      "Californian FB - C:\\WINDOWS\\Fonts\\CALIFB.TTF\n",
      "Dubai - C:\\WINDOWS\\Fonts\\DUBAI-BOLD.TTF\n",
      "Candara - C:\\WINDOWS\\Fonts\\Candarai.ttf\n",
      "Microsoft Himalaya - C:\\Windows\\Fonts\\himalaya.ttf\n",
      "SimSun - C:\\WINDOWS\\Fonts\\simsun.ttc\n",
      "Century Gothic - C:\\WINDOWS\\Fonts\\GOTHICI.TTF\n",
      "Chiller - C:\\Windows\\Fonts\\CHILLER.TTF\n",
      "Palatino Linotype - C:\\WINDOWS\\Fonts\\palai.ttf\n",
      "Bernard MT Condensed - C:\\Windows\\Fonts\\BERNHC.TTF\n",
      "Franklin Gothic Medium - C:\\Windows\\Fonts\\framdit.ttf\n",
      "Arial - C:\\Windows\\Fonts\\ARIALNB.TTF\n",
      "Ebrima - C:\\Windows\\Fonts\\ebrima.ttf\n",
      "Javanese Text - C:\\Windows\\Fonts\\javatext.ttf\n",
      "Consolas - C:\\Windows\\Fonts\\consola.ttf\n",
      "Segoe UI - C:\\Windows\\Fonts\\seguibl.ttf\n",
      "Courier New - C:\\Windows\\Fonts\\courbi.ttf\n",
      "Georgia - C:\\WINDOWS\\Fonts\\georgiai.ttf\n",
      "Book Antiqua - C:\\Windows\\Fonts\\ANTQUABI.TTF\n",
      "Ravie - C:\\WINDOWS\\Fonts\\RAVIE.TTF\n",
      "Franklin Gothic Book - C:\\WINDOWS\\Fonts\\FRABKIT.TTF\n",
      "STXingkai - C:\\WINDOWS\\Fonts\\STXINGKA.TTF\n",
      "FZShuTi - C:\\Windows\\Fonts\\FZSTK.TTF\n",
      "Axure Handwriting - C:\\WINDOWS\\Fonts\\AxureHandwriting-Italic.otf\n",
      "Elephant - C:\\Windows\\Fonts\\ELEPHNTI.TTF\n",
      "Juice ITC - C:\\Windows\\Fonts\\JUICE___.TTF\n",
      "Californian FB - C:\\WINDOWS\\Fonts\\CALIFI.TTF\n",
      "Baskerville Old Face - C:\\Windows\\Fonts\\BASKVILL.TTF\n",
      "Wingdings 3 - C:\\Windows\\Fonts\\WINGDNG3.TTF\n",
      "Microsoft Tai Le - C:\\Windows\\Fonts\\taileb.ttf\n",
      "Calibri - C:\\Windows\\Fonts\\calibrili.ttf\n",
      "Lucida Sans Unicode - C:\\Windows\\Fonts\\l_10646.ttf\n",
      "Wingdings 2 - C:\\WINDOWS\\Fonts\\WINGDNG2.TTF\n",
      "Palatino Linotype - C:\\Windows\\Fonts\\palabi.ttf\n",
      "Cambria - C:\\Windows\\Fonts\\cambriab.ttf\n",
      "STHupo - C:\\Windows\\Fonts\\STHUPO.TTF\n",
      "Franklin Gothic Demi - C:\\Windows\\Fonts\\FRADM.TTF\n",
      "Myanmar Text - C:\\WINDOWS\\Fonts\\mmrtext.ttf\n",
      "Book Antiqua - C:\\Windows\\Fonts\\ANTQUAB.TTF\n",
      "MS Outlook - C:\\Windows\\Fonts\\OUTLOOK.TTF\n",
      "HoloLens MDL2 Assets - C:\\WINDOWS\\Fonts\\holomdl2.ttf\n",
      "Papyrus - C:\\WINDOWS\\Fonts\\PAPYRUS.TTF\n",
      "Candara - C:\\WINDOWS\\Fonts\\Candarali.ttf\n",
      "Times New Roman - C:\\Windows\\Fonts\\timesbi.ttf\n",
      "Rockwell Condensed - C:\\WINDOWS\\Fonts\\ROCC____.TTF\n",
      "Times New Roman - C:\\WINDOWS\\Fonts\\times.ttf\n",
      "Sitka - C:\\Windows\\Fonts\\SitkaVF.ttf\n",
      "Dubai - C:\\WINDOWS\\Fonts\\DUBAI-REGULAR.TTF\n",
      "Microsoft Tai Le - C:\\Windows\\Fonts\\taile.ttf\n",
      "Microsoft YaHei - C:\\Windows\\Fonts\\msyh.ttc\n",
      "Imprint MT Shadow - C:\\WINDOWS\\Fonts\\IMPRISHA.TTF\n",
      "Courier New - C:\\Windows\\Fonts\\courbd.ttf\n",
      "SimHei - C:\\WINDOWS\\Fonts\\simhei.ttf\n",
      "Rockwell - C:\\WINDOWS\\Fonts\\ROCKBI.TTF\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\seguisbi.ttf\n",
      "Cascadia Mono - C:\\Windows\\Fonts\\CascadiaMono.ttf\n",
      "STCaiyun - C:\\Windows\\Fonts\\STCAIYUN.TTF\n",
      "Sitka - C:\\WINDOWS\\Fonts\\SitkaVF.ttf\n",
      "Yu Gothic - C:\\Windows\\Fonts\\YuGothL.ttc\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_BLAI.TTF\n",
      "Century Gothic - C:\\WINDOWS\\Fonts\\GOTHIC.TTF\n",
      "Microsoft JhengHei - C:\\WINDOWS\\Fonts\\msjhl.ttc\n",
      "Candara - C:\\Windows\\Fonts\\Candaraz.ttf\n",
      "Cascadia Mono - C:\\WINDOWS\\Fonts\\CascadiaMono.ttf\n",
      "Palatino Linotype - C:\\Windows\\Fonts\\palai.ttf\n",
      "Comic Sans MS - C:\\WINDOWS\\Fonts\\comicz.ttf\n",
      "Mongolian Baiti - C:\\WINDOWS\\Fonts\\monbaiti.ttf\n",
      "Freestyle Script - C:\\Windows\\Fonts\\FREESCPT.TTF\n",
      "Segoe Print - C:\\WINDOWS\\Fonts\\segoeprb.ttf\n",
      "Microsoft YaHei - C:\\Windows\\Fonts\\msyhl.ttc\n",
      "Courier New - C:\\Windows\\Fonts\\cour.ttf\n",
      "Gadugi - C:\\WINDOWS\\Fonts\\gadugib.ttf\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\segoeuib.ttf\n",
      "Trebuchet MS - C:\\Windows\\Fonts\\trebucbd.ttf\n",
      "Niagara Engraved - C:\\Windows\\Fonts\\NIAGENG.TTF\n",
      "Lucida Calligraphy - C:\\WINDOWS\\Fonts\\LCALLIG.TTF\n",
      "Segoe UI - C:\\Windows\\Fonts\\segoeui.ttf\n",
      "Rockwell - C:\\Windows\\Fonts\\ROCKB.TTF\n",
      "Trebuchet MS - C:\\Windows\\Fonts\\trebucit.ttf\n",
      "Copperplate Gothic Bold - C:\\Windows\\Fonts\\COPRGTB.TTF\n",
      "Franklin Gothic Book - C:\\Windows\\Fonts\\FRABK.TTF\n",
      "Verdana - C:\\WINDOWS\\Fonts\\verdanab.ttf\n",
      "STXinwei - C:\\WINDOWS\\Fonts\\STXINWEI.TTF\n",
      "Axure Handwriting - C:\\Windows\\Fonts\\AxureHandwriting-Italic.otf\n",
      "Eras Bold ITC - C:\\Windows\\Fonts\\ERASBD.TTF\n",
      "Georgia - C:\\WINDOWS\\Fonts\\georgiaz.ttf\n",
      "Symbol - C:\\WINDOWS\\Fonts\\symbol.ttf\n",
      "Segoe UI - C:\\Windows\\Fonts\\seguisli.ttf\n",
      "Courier New - C:\\WINDOWS\\Fonts\\couri.ttf\n",
      "Rockwell Condensed - C:\\Windows\\Fonts\\ROCC____.TTF\n",
      "STLiti - C:\\WINDOWS\\Fonts\\STLITI.TTF\n",
      "Agency FB - C:\\Windows\\Fonts\\AGENCYB.TTF\n",
      "Snap ITC - C:\\Windows\\Fonts\\SNAP____.TTF\n",
      "Georgia - C:\\WINDOWS\\Fonts\\georgia.ttf\n",
      "Footlight MT Light - C:\\WINDOWS\\Fonts\\FTLTLT.TTF\n",
      "MS Gothic - C:\\WINDOWS\\Fonts\\msgothic.ttc\n",
      "Agency FB - C:\\WINDOWS\\Fonts\\AGENCYB.TTF\n",
      "Bell MT - C:\\Windows\\Fonts\\BELL.TTF\n",
      "Century Schoolbook - C:\\WINDOWS\\Fonts\\SCHLBKBI.TTF\n",
      "Franklin Gothic Medium - C:\\WINDOWS\\Fonts\\framdit.ttf\n",
      "Microsoft PhagsPa - C:\\WINDOWS\\Fonts\\phagspab.ttf\n",
      "Segoe Print - C:\\WINDOWS\\Fonts\\segoepr.ttf\n",
      "Palatino Linotype - C:\\WINDOWS\\Fonts\\palab.ttf\n",
      "Yu Gothic - C:\\WINDOWS\\Fonts\\YuGothL.ttc\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_I.TTF\n",
      "Bookman Old Style - C:\\Windows\\Fonts\\BOOKOSI.TTF\n",
      "Parchment - C:\\WINDOWS\\Fonts\\PARCHM.TTF\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\seguibl.ttf\n",
      "Leelawadee UI - C:\\Windows\\Fonts\\LeelawUI.ttf\n",
      "Rockwell - C:\\WINDOWS\\Fonts\\ROCKB.TTF\n",
      "Colonna MT - C:\\WINDOWS\\Fonts\\COLONNA.TTF\n",
      "Nirmala UI - C:\\WINDOWS\\Fonts\\Nirmala.ttf\n",
      "Bradley Hand ITC - C:\\WINDOWS\\Fonts\\BRADHITC.TTF\n",
      "Courier New - C:\\WINDOWS\\Fonts\\courbd.ttf\n",
      "Baskerville Old Face - C:\\WINDOWS\\Fonts\\BASKVILL.TTF\n",
      "Segoe Script - C:\\WINDOWS\\Fonts\\segoesc.ttf\n",
      "Agency FB - C:\\Windows\\Fonts\\AGENCYR.TTF\n",
      "Consolas - C:\\WINDOWS\\Fonts\\consolab.ttf\n",
      "Imprint MT Shadow - C:\\Windows\\Fonts\\IMPRISHA.TTF\n",
      "Rockwell - C:\\Windows\\Fonts\\ROCKBI.TTF\n",
      "Malgun Gothic - C:\\WINDOWS\\Fonts\\malgunsl.ttf\n",
      "Lucida Sans - C:\\Windows\\Fonts\\LSANSI.TTF\n",
      "Segoe UI Variable - C:\\Windows\\Fonts\\SegUIVar.ttf\n",
      "Yu Gothic - C:\\WINDOWS\\Fonts\\YuGothB.ttc\n",
      "Dubai - C:\\WINDOWS\\Fonts\\DUBAI-MEDIUM.TTF\n",
      "Times New Roman - C:\\WINDOWS\\Fonts\\timesbd.ttf\n",
      "Garamond - C:\\WINDOWS\\Fonts\\GARAIT.TTF\n",
      "Rockwell - C:\\WINDOWS\\Fonts\\ROCKI.TTF\n",
      "Algerian - C:\\WINDOWS\\Fonts\\ALGER.TTF\n",
      "Wingdings - C:\\WINDOWS\\Fonts\\wingding.ttf\n",
      "Kristen ITC - C:\\WINDOWS\\Fonts\\ITCKRIST.TTF\n",
      "Lucida Console - C:\\Windows\\Fonts\\lucon.ttf\n",
      "Arial - C:\\Windows\\Fonts\\arial.ttf\n",
      "Bookman Old Style - C:\\Windows\\Fonts\\BOOKOS.TTF\n",
      "Franklin Gothic Heavy - C:\\Windows\\Fonts\\FRAHV.TTF\n",
      "Harlow Solid Italic - C:\\Windows\\Fonts\\HARLOWSI.TTF\n",
      "Arial - C:\\Windows\\Fonts\\ariali.ttf\n",
      "Malgun Gothic - C:\\Windows\\Fonts\\malgunbd.ttf\n",
      "Rage Italic - C:\\WINDOWS\\Fonts\\RAGE.TTF\n",
      "Informal Roman - C:\\WINDOWS\\Fonts\\INFROMAN.TTF\n",
      "Constantia - C:\\WINDOWS\\Fonts\\constani.ttf\n",
      "Lucida Sans Typewriter - C:\\WINDOWS\\Fonts\\LTYPEO.TTF\n",
      "Franklin Gothic Medium Cond - C:\\WINDOWS\\Fonts\\FRAMDCN.TTF\n",
      "Verdana - C:\\Windows\\Fonts\\verdanaz.ttf\n",
      "YouYuan - C:\\Windows\\Fonts\\SIMYOU.TTF\n",
      "Courier New - C:\\WINDOWS\\Fonts\\cour.ttf\n",
      "Gill Sans Ultra Bold - C:\\WINDOWS\\Fonts\\GILSANUB.TTF\n",
      "Perpetua Titling MT - C:\\WINDOWS\\Fonts\\PERTILI.TTF\n",
      "Trebuchet MS - C:\\WINDOWS\\Fonts\\trebucbd.ttf\n",
      "Consolas - C:\\WINDOWS\\Fonts\\consola.ttf\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_BI.TTF\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_CB.TTF\n",
      "Arial Unicode MS - C:\\WINDOWS\\Fonts\\ARIALUNI.TTF\n",
      "Georgia - C:\\Windows\\Fonts\\georgiai.ttf\n",
      "Rockwell Condensed - C:\\Windows\\Fonts\\ROCCB___.TTF\n",
      "Microsoft YaHei - C:\\WINDOWS\\Fonts\\msyh.ttc\n",
      "Tw Cen MT Condensed - C:\\Windows\\Fonts\\TCCB____.TTF\n",
      "Berlin Sans FB - C:\\WINDOWS\\Fonts\\BRLNSB.TTF\n",
      "Calibri - C:\\WINDOWS\\Fonts\\calibriz.ttf\n",
      "Bauhaus 93 - C:\\Windows\\Fonts\\BAUHS93.TTF\n",
      "Nirmala UI - C:\\Windows\\Fonts\\Nirmala.ttf\n",
      "Bookman Old Style - C:\\WINDOWS\\Fonts\\BOOKOSB.TTF\n",
      "Arial - C:\\WINDOWS\\Fonts\\ARIALNI.TTF\n",
      "Century Gothic - C:\\Windows\\Fonts\\GOTHICB.TTF\n",
      "Impact - C:\\Windows\\Fonts\\impact.ttf\n",
      "Bookshelf Symbol 7 - C:\\Windows\\Fonts\\BSSYM7.TTF\n",
      "Lucida Fax - C:\\Windows\\Fonts\\LFAXD.TTF\n",
      "Garamond - C:\\Windows\\Fonts\\GARAIT.TTF\n",
      "Harrington - C:\\WINDOWS\\Fonts\\HARNGTON.TTF\n",
      "Lucida Sans - C:\\WINDOWS\\Fonts\\LSANSD.TTF\n",
      "Pristina - C:\\WINDOWS\\Fonts\\PRISTINA.TTF\n",
      "Perpetua - C:\\Windows\\Fonts\\PERI____.TTF\n",
      "FZShuTi - C:\\WINDOWS\\Fonts\\FZSTK.TTF\n",
      "Gigi - C:\\WINDOWS\\Fonts\\GIGI.TTF\n",
      "Segoe Fluent Icons - C:\\WINDOWS\\Fonts\\SegoeIcons.ttf\n",
      "Tempus Sans ITC - C:\\WINDOWS\\Fonts\\TEMPSITC.TTF\n",
      "Palatino Linotype - C:\\Windows\\Fonts\\pala.ttf\n",
      "Corbel - C:\\WINDOWS\\Fonts\\corbelz.ttf\n",
      "Calisto MT - C:\\WINDOWS\\Fonts\\CALISTB.TTF\n",
      "Eras Light ITC - C:\\WINDOWS\\Fonts\\ERASLGHT.TTF\n",
      "Comic Sans MS - C:\\Windows\\Fonts\\comici.ttf\n",
      "Bernard MT Condensed - C:\\WINDOWS\\Fonts\\BERNHC.TTF\n",
      "Lucida Bright - C:\\Windows\\Fonts\\LBRITED.TTF\n",
      "Times New Roman - C:\\WINDOWS\\Fonts\\timesi.ttf\n",
      "Bookman Old Style - C:\\Windows\\Fonts\\BOOKOSB.TTF\n",
      "High Tower Text - C:\\Windows\\Fonts\\HTOWERTI.TTF\n",
      "Harlow Solid Italic - C:\\WINDOWS\\Fonts\\HARLOWSI.TTF\n",
      "Comic Sans MS - C:\\Windows\\Fonts\\comicz.ttf\n",
      "Lucida Console - C:\\WINDOWS\\Fonts\\lucon.ttf\n",
      "Franklin Gothic Medium - C:\\Windows\\Fonts\\framd.ttf\n",
      "Candara - C:\\WINDOWS\\Fonts\\Candaral.ttf\n",
      "Axure Handwriting - C:\\Windows\\Fonts\\AxureHandwriting-Bold.otf\n",
      "Lucida Sans - C:\\WINDOWS\\Fonts\\LSANSI.TTF\n",
      "Arial - C:\\Windows\\Fonts\\ARIALN.TTF\n",
      "Lucida Sans - C:\\WINDOWS\\Fonts\\LSANS.TTF\n",
      "Corbel - C:\\WINDOWS\\Fonts\\corbeli.ttf\n",
      "Perpetua Titling MT - C:\\WINDOWS\\Fonts\\PERTIBD.TTF\n",
      "STHupo - C:\\WINDOWS\\Fonts\\STHUPO.TTF\n",
      "MS Gothic - C:\\Windows\\Fonts\\msgothic.ttc\n",
      "Arial Rounded MT Bold - C:\\WINDOWS\\Fonts\\ARLRDBD.TTF\n",
      "Tahoma - C:\\WINDOWS\\Fonts\\tahomabd.ttf\n",
      "Constantia - C:\\Windows\\Fonts\\constanb.ttf\n",
      "Californian FB - C:\\Windows\\Fonts\\CALIFI.TTF\n",
      "Segoe MDL2 Assets - C:\\Windows\\Fonts\\segmdl2.ttf\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\seguili.ttf\n",
      "Lucida Fax - C:\\Windows\\Fonts\\LFAXI.TTF\n",
      "Curlz MT - C:\\Windows\\Fonts\\CURLZ___.TTF\n",
      "MV Boli - C:\\WINDOWS\\Fonts\\mvboli.ttf\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_CBI.TTF\n",
      "Nirmala UI - C:\\WINDOWS\\Fonts\\NirmalaS.ttf\n",
      "Meiryo - C:\\WINDOWS\\Fonts\\MEIRYO.TTC\n",
      "Calisto MT - C:\\Windows\\Fonts\\CALISTI.TTF\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_CI.TTF\n",
      "STFangsong - C:\\WINDOWS\\Fonts\\STFANGSO.TTF\n",
      "Lucida Handwriting - C:\\WINDOWS\\Fonts\\LHANDW.TTF\n",
      "Georgia - C:\\Windows\\Fonts\\georgiaz.ttf\n",
      "Century Schoolbook - C:\\Windows\\Fonts\\SCHLBKBI.TTF\n",
      "Microsoft Sans Serif - C:\\Windows\\Fonts\\micross.ttf\n",
      "Gill Sans MT Condensed - C:\\Windows\\Fonts\\GILC____.TTF\n",
      "Candara - C:\\Windows\\Fonts\\Candaral.ttf\n",
      "Tw Cen MT Condensed - C:\\WINDOWS\\Fonts\\TCCB____.TTF\n",
      "Arial - C:\\WINDOWS\\Fonts\\ariblk.ttf\n",
      "Lucida Sans Typewriter - C:\\Windows\\Fonts\\LTYPEO.TTF\n",
      "Tw Cen MT - C:\\Windows\\Fonts\\TCM_____.TTF\n",
      "Microsoft JhengHei - C:\\Windows\\Fonts\\msjhl.ttc\n",
      "Bookman Old Style - C:\\WINDOWS\\Fonts\\BOOKOS.TTF\n",
      "Harrington - C:\\Windows\\Fonts\\HARNGTON.TTF\n",
      "Segoe UI Variable - C:\\WINDOWS\\Fonts\\SegUIVar.ttf\n",
      "Goudy Old Style - C:\\Windows\\Fonts\\GOUDOSI.TTF\n",
      "Bradley Hand ITC - C:\\Windows\\Fonts\\BRADHITC.TTF\n",
      "MS Outlook - C:\\WINDOWS\\Fonts\\OUTLOOK.TTF\n",
      "Bookman Old Style - C:\\Windows\\Fonts\\BOOKOSBI.TTF\n",
      "Dubai - C:\\Windows\\Fonts\\DUBAI-BOLD.TTF\n",
      "Eras Medium ITC - C:\\WINDOWS\\Fonts\\ERASMD.TTF\n",
      "Calisto MT - C:\\Windows\\Fonts\\CALISTBI.TTF\n",
      "Candara - C:\\WINDOWS\\Fonts\\Candara.ttf\n",
      "Berlin Sans FB - C:\\WINDOWS\\Fonts\\BRLNSR.TTF\n",
      "Segoe UI - C:\\Windows\\Fonts\\seguibli.ttf\n",
      "Niagara Solid - C:\\WINDOWS\\Fonts\\NIAGSOL.TTF\n",
      "Segoe UI - C:\\Windows\\Fonts\\seguili.ttf\n",
      "Wide Latin - C:\\WINDOWS\\Fonts\\LATINWD.TTF\n",
      "Microsoft New Tai Lue - C:\\WINDOWS\\Fonts\\ntailub.ttf\n",
      "Berlin Sans FB Demi - C:\\WINDOWS\\Fonts\\BRLNSDB.TTF\n",
      "FZYaoTi - C:\\WINDOWS\\Fonts\\FZYTK.TTF\n",
      "Onyx - C:\\WINDOWS\\Fonts\\ONYX.TTF\n",
      "LiSu - C:\\WINDOWS\\Fonts\\SIMLI.TTF\n",
      "Wingdings 2 - C:\\Windows\\Fonts\\WINGDNG2.TTF\n",
      "Century Schoolbook - C:\\Windows\\Fonts\\SCHLBKB.TTF\n",
      "DengXian - C:\\WINDOWS\\Fonts\\Dengb.ttf\n",
      "Tw Cen MT - C:\\WINDOWS\\Fonts\\TCMI____.TTF\n",
      "SimSun-ExtB - C:\\Windows\\Fonts\\simsunb.ttf\n",
      "Book Antiqua - C:\\WINDOWS\\Fonts\\ANTQUAB.TTF\n",
      "Tw Cen MT Condensed Extra Bold - C:\\Windows\\Fonts\\TCCEB.TTF\n",
      "Constantia - C:\\Windows\\Fonts\\constan.ttf\n",
      "Engravers MT - C:\\Windows\\Fonts\\ENGR.TTF\n",
      "MingLiU-ExtB - C:\\WINDOWS\\Fonts\\mingliub.ttc\n",
      "Vladimir Script - C:\\WINDOWS\\Fonts\\VLADIMIR.TTF\n",
      "Garamond - C:\\WINDOWS\\Fonts\\GARABD.TTF\n",
      "Magneto - C:\\Windows\\Fonts\\MAGNETOB.TTF\n",
      "Broadway - C:\\WINDOWS\\Fonts\\BROADW.TTF\n",
      "Arial Rounded MT Bold - C:\\Windows\\Fonts\\ARLRDBD.TTF\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_I.TTF\n",
      "MS Reference Sans Serif - C:\\WINDOWS\\Fonts\\REFSAN.TTF\n",
      "Arial - C:\\Windows\\Fonts\\ariblk.ttf\n",
      "Segoe UI Historic - C:\\WINDOWS\\Fonts\\seguihis.ttf\n",
      "Old English Text MT - C:\\Windows\\Fonts\\OLDENGL.TTF\n",
      "Forte - C:\\WINDOWS\\Fonts\\FORTE.TTF\n",
      "Franklin Gothic Medium Cond - C:\\Windows\\Fonts\\FRAMDCN.TTF\n",
      "Rockwell Extra Bold - C:\\Windows\\Fonts\\ROCKEB.TTF\n",
      "Matura MT Script Capitals - C:\\Windows\\Fonts\\MATURASC.TTF\n",
      "Tahoma - C:\\Windows\\Fonts\\tahoma.ttf\n",
      "STZhongsong - C:\\Windows\\Fonts\\STZHONGS.TTF\n",
      "Mistral - C:\\Windows\\Fonts\\MISTRAL.TTF\n",
      "Verdana - C:\\WINDOWS\\Fonts\\verdanaz.ttf\n",
      "Calibri - C:\\Windows\\Fonts\\calibri.ttf\n",
      "Dubai - C:\\WINDOWS\\Fonts\\DUBAI-LIGHT.TTF\n",
      "Forte - C:\\Windows\\Fonts\\FORTE.TTF\n",
      "Axure Handwriting - C:\\WINDOWS\\Fonts\\AxureHandwriting.otf\n",
      "Microsoft Yi Baiti - C:\\Windows\\Fonts\\msyi.ttf\n",
      "Consolas - C:\\Windows\\Fonts\\consolab.ttf\n",
      "STZhongsong - C:\\WINDOWS\\Fonts\\STZHONGS.TTF\n",
      "Cascadia Code - C:\\Windows\\Fonts\\CascadiaCode.ttf\n",
      "STFangsong - C:\\Windows\\Fonts\\STFANGSO.TTF\n",
      "Verdana - C:\\Windows\\Fonts\\verdana.ttf\n",
      "Kristen ITC - C:\\Windows\\Fonts\\ITCKRIST.TTF\n",
      "YouYuan - C:\\WINDOWS\\Fonts\\SIMYOU.TTF\n",
      "Tahoma - C:\\Windows\\Fonts\\tahomabd.ttf\n",
      "Candara - C:\\Windows\\Fonts\\Candarali.ttf\n",
      "French Script MT - C:\\Windows\\Fonts\\FRSCRIPT.TTF\n",
      "Playbill - C:\\Windows\\Fonts\\PLAYBILL.TTF\n",
      "MT Extra - C:\\Program Files (x86)\\Common Files\\Microsoft Shared\\EQUATION\\MTEXTRA.TTF\n",
      "Leelawadee UI - C:\\Windows\\Fonts\\LeelUIsl.ttf\n",
      "Haettenschweiler - C:\\WINDOWS\\Fonts\\HATTEN.TTF\n",
      "Bell MT - C:\\Windows\\Fonts\\BELLB.TTF\n",
      "Bookman Old Style - C:\\WINDOWS\\Fonts\\BOOKOSI.TTF\n",
      "Goudy Stout - C:\\WINDOWS\\Fonts\\GOUDYSTO.TTF\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_BLAR.TTF\n",
      "Sylfaen - C:\\WINDOWS\\Fonts\\sylfaen.ttf\n",
      "Arial - C:\\Windows\\Fonts\\ARIALNI.TTF\n",
      "Bodoni MT - C:\\Windows\\Fonts\\BOD_CI.TTF\n",
      "Myanmar Text - C:\\Windows\\Fonts\\mmrtextb.ttf\n",
      "Agency FB - C:\\WINDOWS\\Fonts\\AGENCYR.TTF\n",
      "Perpetua - C:\\WINDOWS\\Fonts\\PER_____.TTF\n",
      "Trebuchet MS - C:\\Windows\\Fonts\\trebucbi.ttf\n",
      "Arial - C:\\Windows\\Fonts\\arialbd.ttf\n",
      "Book Antiqua - C:\\Windows\\Fonts\\BKANT.TTF\n",
      "Malgun Gothic - C:\\WINDOWS\\Fonts\\malgunbd.ttf\n",
      "Calibri - C:\\Windows\\Fonts\\calibril.ttf\n",
      "Constantia - C:\\Windows\\Fonts\\constanz.ttf\n",
      "Tw Cen MT Condensed - C:\\WINDOWS\\Fonts\\TCCM____.TTF\n",
      "LiSu - C:\\Windows\\Fonts\\SIMLI.TTF\n",
      "Palatino Linotype - C:\\WINDOWS\\Fonts\\palabi.ttf\n",
      "Franklin Gothic Demi - C:\\WINDOWS\\Fonts\\FRADM.TTF\n",
      "Franklin Gothic Book - C:\\Windows\\Fonts\\FRABKIT.TTF\n",
      "Yu Gothic - C:\\Windows\\Fonts\\YuGothR.ttc\n",
      "Monotype Corsiva - C:\\Windows\\Fonts\\MTCORSVA.TTF\n",
      "Garamond - C:\\Windows\\Fonts\\GARABD.TTF\n",
      "Gill Sans MT - C:\\Windows\\Fonts\\GILBI___.TTF\n",
      "Myanmar Text - C:\\WINDOWS\\Fonts\\mmrtextb.ttf\n",
      "Microsoft JhengHei - C:\\Windows\\Fonts\\msjh.ttc\n",
      "Courier New - C:\\Windows\\Fonts\\couri.ttf\n",
      "Lucida Sans Unicode - C:\\WINDOWS\\Fonts\\l_10646.ttf\n",
      "Showcard Gothic - C:\\WINDOWS\\Fonts\\SHOWG.TTF\n",
      "Yu Gothic - C:\\WINDOWS\\Fonts\\YuGothR.ttc\n",
      "Dubai - C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF\n",
      "Courier New - C:\\WINDOWS\\Fonts\\courbi.ttf\n",
      "Segoe UI - C:\\Windows\\Fonts\\segoeuii.ttf\n",
      "Century Gothic - C:\\WINDOWS\\Fonts\\GOTHICB.TTF\n",
      "Garamond - C:\\WINDOWS\\Fonts\\GARA.TTF\n",
      "Britannic Bold - C:\\Windows\\Fonts\\BRITANIC.TTF\n",
      "STLiti - C:\\Windows\\Fonts\\STLITI.TTF\n",
      "Lucida Sans - C:\\WINDOWS\\Fonts\\LSANSDI.TTF\n",
      "Cambria - C:\\WINDOWS\\Fonts\\cambriaz.ttf\n",
      "Trebuchet MS - C:\\WINDOWS\\Fonts\\trebucit.ttf\n",
      "High Tower Text - C:\\WINDOWS\\Fonts\\HTOWERTI.TTF\n",
      "Monotype Corsiva - C:\\WINDOWS\\Fonts\\MTCORSVA.TTF\n",
      "FZYaoTi - C:\\Windows\\Fonts\\FZYTK.TTF\n",
      "Colonna MT - C:\\Windows\\Fonts\\COLONNA.TTF\n",
      "Microsoft Himalaya - C:\\WINDOWS\\Fonts\\himalaya.ttf\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\segoeuiz.ttf\n",
      "Consolas - C:\\Windows\\Fonts\\consolai.ttf\n",
      "Goudy Old Style - C:\\Windows\\Fonts\\GOUDOS.TTF\n",
      "DengXian - C:\\Windows\\Fonts\\Dengb.ttf\n",
      "Lucida Bright - C:\\Windows\\Fonts\\LBRITEDI.TTF\n",
      "Edwardian Script ITC - C:\\Windows\\Fonts\\ITCEDSCR.TTF\n",
      "Segoe UI - C:\\WINDOWS\\Fonts\\segoeuil.ttf\n",
      "Kunstler Script - C:\\Windows\\Fonts\\KUNSTLER.TTF\n",
      "Mistral - C:\\WINDOWS\\Fonts\\MISTRAL.TTF\n",
      "Verdana - C:\\Windows\\Fonts\\verdanab.ttf\n",
      "Ravie - C:\\Windows\\Fonts\\RAVIE.TTF\n",
      "Rockwell Extra Bold - C:\\WINDOWS\\Fonts\\ROCKEB.TTF\n",
      "Nirmala UI - C:\\Windows\\Fonts\\NirmalaS.ttf\n",
      "Candara - C:\\WINDOWS\\Fonts\\Candaraz.ttf\n",
      "MT Extra - C:\\WINDOWS\\Fonts\\MTEXTRA.TTF\n",
      "Meiryo - C:\\Windows\\Fonts\\MEIRYO.TTC\n",
      "Tw Cen MT Condensed - C:\\Windows\\Fonts\\TCCM____.TTF\n",
      "Castellar - C:\\Windows\\Fonts\\CASTELAR.TTF\n",
      "Vladimir Script - C:\\Windows\\Fonts\\VLADIMIR.TTF\n",
      "Californian FB - C:\\Windows\\Fonts\\CALIFR.TTF\n",
      "Copperplate Gothic Light - C:\\WINDOWS\\Fonts\\COPRGTL.TTF\n",
      "Cambria - C:\\WINDOWS\\Fonts\\cambriab.ttf\n",
      "Copperplate Gothic Bold - C:\\WINDOWS\\Fonts\\COPRGTB.TTF\n",
      "Bell MT - C:\\WINDOWS\\Fonts\\BELLI.TTF\n",
      "Bodoni MT - C:\\WINDOWS\\Fonts\\BOD_BLAR.TTF\n",
      "Gill Sans MT Ext Condensed Bold - C:\\Windows\\Fonts\\GLSNECB.TTF\n",
      "Verdana - C:\\WINDOWS\\Fonts\\verdana.ttf\n",
      "Calibri - C:\\WINDOWS\\Fonts\\calibrib.ttf\n",
      "Lucida Bright - C:\\WINDOWS\\Fonts\\LBRITED.TTF\n",
      "Lucida Sans Typewriter - C:\\Windows\\Fonts\\LTYPE.TTF\n",
      "Microsoft YaHei - C:\\Windows\\Fonts\\msyhbd.ttc\n",
      "Segoe Fluent Icons - C:\\Windows\\Fonts\\SegoeIcons.ttf\n",
      "Lucida Bright - C:\\WINDOWS\\Fonts\\LBRITEI.TTF\n",
      "Arial - C:\\Windows\\Fonts\\ARIALNBI.TTF\n",
      "Bell MT - C:\\WINDOWS\\Fonts\\BELL.TTF\n",
      "Rage Italic - C:\\Windows\\Fonts\\RAGE.TTF\n",
      "Gadugi - C:\\Windows\\Fonts\\gadugib.ttf\n",
      "Consolas - C:\\WINDOWS\\Fonts\\consolai.ttf\n"
     ]
    }
   ],
   "source": [
    "from matplotlib import font_manager\n",
    " \n",
    "for font in font_manager.fontManager.ttflist:\n",
    "    # 查看字体名以及对应的字体文件名\n",
    "    print(font.name, '-', font.fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "55d40781",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "#设置中文编码和负号的正常显示\n",
    "plt.rcParams['font.family']='Microsoft YaHei'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6e808faf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取数据\n",
    "file_path='D:\\大二上\\\\EducationData.xlsx'\n",
    "cr_data= pd.read_excel(file_path,'Completion-rate')\n",
    "fl_data=pd.read_excel(file_path,'Foundational learning')\n",
    "lr_data=pd.read_excel(file_path,'Literacy rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8fb8f529",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                           Female          Male\n",
      "Development Regions                            \n",
      "Least Developed       4525.291383   4823.828571\n",
      "Less Developed       13076.927013  12573.442582\n",
      "More Developed        2256.505486   2214.585171\n",
      "Not Classified           0.000000      0.000000\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(cr_data)\n",
    "# 创建数据透视表，以国家发展程度为索引，计算男女完成率\n",
    "pivot = df.pivot_table(index='Development Regions', values=['Male','Female'], aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "90201cf9",
   "metadata": {},
   "outputs": [
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       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"Least Developed\",\n",
       "                \"Less Developed\",\n",
       "                \"More Developed\",\n",
       "                \"Not Classified\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"text\": \"\\u4e0d\\u540c\\u56fd\\u5bb6\\u53d1\\u5c55\\u7a0b\\u5ea6\\u7684\\u53d7\\u6559\\u80b2\\u7537\\u5973\\u4eba\\u6570\\u5bf9\\u6bd4\\u60c5\\u51b5\",\n",
       "            \"target\": \"blank\",\n",
       "            \"subtext\": \"\\u67f1\\u72b6\\u56fe\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_559af8c1e75841df9622a5827d4abd95.setOption(option_559af8c1e75841df9622a5827d4abd95);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x23b6143e070>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import *\n",
    "\n",
    "x_index = [\"Least Developed\",\"Less Developed\",\"More Developed\",\"Not Classified\"]\n",
    "man_value1 = [4823.828571, 12367.489270,2214.585171]\n",
    "woman_value2 = [2214.585171,12850.561497,2256.505486]\n",
    "\n",
    "\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(x_index)\n",
    "    .add_yaxis(\"男性\",man_value1) # y轴设置\n",
    "    .add_yaxis(\"女性\",woman_value2) # y轴设置\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"不同国家发展程度的受教育男女人数对比情况\", subtitle=\"柱状图\"))\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(is_show=False),\n",
    "                    markpoint_opts=opts.MarkPointOpts(\n",
    "                        data=[\n",
    "                opts.MarkPointItem(type_=\"min\", name=\"最小值\"),\n",
    "                opts.MarkPointItem(type_=\"max\", name=\"最大值\"),\n",
    "                opts.MarkPointItem(type_=\"average\", name=\"平均值\")])\n",
    "                    )\n",
    "    )\n",
    "\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fe27f65",
   "metadata": {},
   "source": [
    "###   不同国家发展程度里受教育水平绘制饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "5e990952",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     educational level\n",
      "Development Regions                   \n",
      "Least Developed                    123\n",
      "Less Developed                     174\n",
      "More Developed                      24\n",
      "Not Classified                       0\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(cr_data)\n",
    "# 创建数据透视表，以国家发展程度为索引，计算不同国家受教育水平的人数\n",
    "pivot = df.pivot_table(index='Development Regions',values='educational level', aggfunc='count') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "63d7b3ae",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'Not Classified'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_32324\\319860537.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgroup\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgrouped_data\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlevels\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m     \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgrouped_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mgroup\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     11\u001b[0m     \u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpie\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mautopct\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'%1.1f%%'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     12\u001b[0m     \u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgroup\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    956\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    957\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mkey_is_scalar\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 958\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    959\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    960\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36m_get_value\u001b[1;34m(self, label, takeable)\u001b[0m\n\u001b[0;32m   1067\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1068\u001b[0m         \u001b[1;31m# Similar to Index.get_value, but we do not fall back to positional\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1069\u001b[1;33m         \u001b[0mloc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1070\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_values_for_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mloc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1071\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\indexes\\multi.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method)\u001b[0m\n\u001b[0;32m   2867\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2868\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2869\u001b[1;33m             \u001b[0mloc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_level_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2870\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0m_maybe_to_slice\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2871\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\indexes\\multi.py\u001b[0m in \u001b[0;36m_get_level_indexer\u001b[1;34m(self, key, level, indexer)\u001b[0m\n\u001b[0;32m   3247\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mstart\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3248\u001b[0m                 \u001b[1;31m# The label is present in self.levels[level] but unused:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3249\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3250\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mslice\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstart\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3251\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'Not Classified'"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 根据发展程度进行分组，并计算每个组别的受教育水平数量\n",
    "grouped_data = cr_data.groupby('Development Regions')['educational level'].value_counts()\n",
    "\n",
    "# 绘制四个饼图\n",
    "fig, axes = plt.subplots(2, 2, figsize=(10, 10))\n",
    "axes = axes.ravel()\n",
    "labels = grouped_data.index.get_level_values(1).unique()\n",
    "\n",
    "for i, group in enumerate(grouped_data.index.levels[0]):\n",
    "    values = grouped_data[group].values\n",
    "    axes[i].pie(values, labels=labels, autopct='%1.1f%%')\n",
    "    axes[i].set_title(group)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d9c42c0",
   "metadata": {},
   "source": [
    "### 绘制不同国家发展程度中城市受教育率的箱线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "9977272f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Development Regions', ylabel='Urban'>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxenplot(x=\"Development Regions\", y=\"Urban\", data=cr_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfabbd32",
   "metadata": {},
   "source": [
    "### 绘制不同国家发展程度中农村受教育率的箱线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "aa37462f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Development Regions', ylabel='Rural'>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxenplot(x=\"Development Regions\", y=\"Rural\", data=cr_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a186b609",
   "metadata": {},
   "source": [
    "### 绘制不同年龄组的学习技能人数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "3c516c0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 统计每个age group和subject的数量\n",
    "count_data = fl_data.groupby(['Age group', 'Subject']).size().reset_index(name='count')\n",
    "\n",
    "# 构建簇状图所需的数据结构\n",
    "pivot_data = count_data.pivot(index='Age group', columns='Subject', values='count')\n",
    "\n",
    "# 绘制簇状图\n",
    "pivot_data.plot(kind='bar', stacked=True)\n",
    "\n",
    "# 设置图形标题和轴标签\n",
    "plt.title('绘制不同年龄组的学习技能人数')\n",
    "plt.xlabel('年龄组')\n",
    "plt.ylabel('数量')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f31f7fe",
   "metadata": {},
   "source": [
    "### 绘制不同经济状态的学习技能人数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "fc409bd2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            Boys        Girls\n",
      "Development regions                          \n",
      "Least Developed       701.649074   772.351675\n",
      "Less Developed       1674.622302  1759.626037\n",
      "More Developed        170.800000   181.200000\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(fl_data)\n",
    "# 创建数据透视表，以国家发展程度为索引，计算男女学习技能\n",
    "pivot = df.pivot_table(index='Development regions', values=['Girls','Boys'], aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "c5bad168",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"cd434006883e42b19fa9a23a65594f68\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_cd434006883e42b19fa9a23a65594f68 = echarts.init(\n",
       "                    document.getElementById('cd434006883e42b19fa9a23a65594f68'), 'white', {renderer: 'canvas'});\n",
       "                var option_cd434006883e42b19fa9a23a65594f68 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"aria\": {\n",
       "        \"enabled\": false\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#5470c6\",\n",
       "        \"#91cc75\",\n",
       "        \"#fac858\",\n",
       "        \"#ee6666\",\n",
       "        \"#73c0de\",\n",
       "        \"#3ba272\",\n",
       "        \"#fc8452\",\n",
       "        \"#9a60b4\",\n",
       "        \"#ea7ccc\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u7537\\u5b69\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                701.649074,\n",
       "                1674.622302,\n",
       "                170.8\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"label\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"inside\",\n",
       "                    \"color\": \"#fff\",\n",
       "                    \"margin\": 8\n",
       "                },\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5c0f\\u503c\",\n",
       "                        \"type\": \"min\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5927\\u503c\",\n",
       "                        \"type\": \"max\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u5e73\\u5747\\u503c\",\n",
       "                        \"type\": \"average\"\n",
       "                    }\n",
       "                ]\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        },\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u5973\\u5b69\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                772.351675,\n",
       "                1759.626037,\n",
       "                181.2\n",
       "            ],\n",
       "            \"realtimeSort\": false,\n",
       "            \"showBackground\": false,\n",
       "            \"stackStrategy\": \"samesign\",\n",
       "            \"cursor\": \"pointer\",\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": false,\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"label\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"inside\",\n",
       "                    \"color\": \"#fff\",\n",
       "                    \"margin\": 8\n",
       "                },\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5c0f\\u503c\",\n",
       "                        \"type\": \"min\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u6700\\u5927\\u503c\",\n",
       "                        \"type\": \"max\"\n",
       "                    },\n",
       "                    {\n",
       "                        \"name\": \"\\u5e73\\u5747\\u503c\",\n",
       "                        \"type\": \"average\"\n",
       "                    }\n",
       "                ]\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u7537\\u5b69\",\n",
       "                \"\\u5973\\u5b69\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"Least Developed\",\n",
       "                \"Less Developed\",\n",
       "                \"More Developed\",\n",
       "                \"Not Classified\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"text\": \"\\u4e0d\\u540c\\u56fd\\u5bb6\\u53d1\\u5c55\\u7a0b\\u5ea6\\u7684\\u7537\\u5973\\u5b69\\u5b66\\u4e60\\u6280\\u80fd\\u60c5\\u51b5\\u4eba\\u6570\\u5bf9\\u6bd4\\u60c5\\u51b5\",\n",
       "            \"target\": \"blank\",\n",
       "            \"subtext\": \"\\u67f1\\u72b6\\u56fe\",\n",
       "            \"subtarget\": \"blank\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"textAlign\": \"auto\",\n",
       "            \"textVerticalAlign\": \"auto\",\n",
       "            \"triggerEvent\": false\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_cd434006883e42b19fa9a23a65594f68.setOption(option_cd434006883e42b19fa9a23a65594f68);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x23b644a0820>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import *\n",
    "\n",
    "x_index = [\"Least Developed\",\"Less Developed\",\"More Developed\",\"Not Classified\"]\n",
    "girl = [772.351675, 1759.626037,181.200000]\n",
    "boy = [ 701.649074, 1674.622302, 170.800000]\n",
    "\n",
    "\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(x_index)\n",
    "    .add_yaxis(\"男孩\",boy) # y轴设置\n",
    "    .add_yaxis(\"女孩\",girl) # y轴设置\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"不同国家发展程度的男女孩学习技能情况人数对比情况\", subtitle=\"柱状图\"))\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(is_show=False),\n",
    "                    markpoint_opts=opts.MarkPointOpts(\n",
    "                        data=[\n",
    "                opts.MarkPointItem(type_=\"min\", name=\"最小值\"),\n",
    "                opts.MarkPointItem(type_=\"max\", name=\"最大值\"),\n",
    "                opts.MarkPointItem(type_=\"average\", name=\"平均值\")])\n",
    "                    )\n",
    "    )\n",
    "\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "646ed894",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '分布直方图')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(fl_data['Total'],bins=10,edgecolor=\"r\",histtype=\"bar\",alpha=0.5)\n",
    "plt.xlabel(\"基本阅读或计算技能的儿童的总百分比区间\")\n",
    "plt.title('分布直方图')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "0e186f3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                           Rural        Urban\n",
      "Development regions                          \n",
      "Least Developed       600.087556   967.446699\n",
      "Less Developed       1401.405157  1721.598246\n",
      "More Developed         99.500000   109.200000\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(fl_data)\n",
    "# 创建数据透视表，以国家发展程度为索引，计算农村、城市学习技能\n",
    "pivot = df.pivot_table(index='Development regions', values=['Rural','Urban'], aggfunc='sum') \n",
    "# 输出结果\n",
    "print(pivot)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05937ea0",
   "metadata": {},
   "source": [
    "### 国家发展程度与农村、城市学习技能比例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "4391e372",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 提取所需数据列\n",
    "country_development = fl_data['Development regions']\n",
    "rural = fl_data['Rural'].sum()\n",
    "urban = fl_data['Urban'].sum()\n",
    "\n",
    "# 创建饼状图\n",
    "labels = ['农村', '城市']\n",
    "sizes = [rural, urban]\n",
    "colors = ['#ff9999', '#66b3ff']\n",
    "explode = (0.1, 0)  # 突出显示农村部分\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%',\n",
    "       shadow=True, startangle=90)\n",
    "ax.axis('equal')  # 使饼图为正圆形\n",
    "\n",
    "plt.title('国家发展程度与农村、城市学习技能比例')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b6a394b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
